Found this via a related paper on Lobste.rs today. The author makes a compelling argument that we've hit the limit of "Vibe Coding" (LLMs guessing via tokens) and need to move to "State-Space Exploration" (Formal Verification).
They claim their neuro-symbolic approach closes a 40%+ accuracy gap in reasoning tasks by forcing the LLM to construct a formal model rather than just predicting the next token. Curious if anyone has tried their CodeLogician agent yet, or if this is just more symbolic AI hype?
In 2024, "AI" was the value prop. Now, for many enterprise buyers, it's becoming a liability (compliance risk, hallucinations, unpredictable costs).
If you are solving a high-friction, "boring" problem—like plumbing compliance, legacy database migration, or payroll—nobody cares if there is an LLM involved. In fact, marketing "Deterministic Output" (i.e., it does exactly what you tell it to do, every time) is starting to feel like a premium feature again compared to the probabilistic nature of GenAI agents.
They claim their neuro-symbolic approach closes a 40%+ accuracy gap in reasoning tasks by forcing the LLM to construct a formal model rather than just predicting the next token. Curious if anyone has tried their CodeLogician agent yet, or if this is just more symbolic AI hype?